Christian J. Schuler
- Media Technology top 0.2%
- Image Processing Techniques and Applications 3
- Advanced Image Fusion Techniques 1
-
- Image and Signal Denoising Methods 4
- Advanced Image Processing Techniques 3
-
- Dementia and Cognitive Impairment Research 2
-
- Technology Use by Older Adults 2
-
- Neural dynamics and brain function 1
-
- Photonic and Optical Devices 1
Christian J. Schuler
11 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Media Technology 963
- Computer Vision and Pattern Recognition 1.5k
- Acoustics and Ultrasonics 9
- Computational Theory and Mathematics 152
- Management Science and Operations Research 94
Countries citing papers authored by Christian J. Schuler
This map shows the geographic impact of Christian J. Schuler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christian J. Schuler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian J. Schuler more than expected).
Fields of papers citing papers by Christian J. Schuler
This network shows the impact of papers produced by Christian J. Schuler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christian J. Schuler. The network helps show where Christian J. Schuler may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Christian J. Schuler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2021 | 10 | |
| 3 | 2015 | 23 | |
| 4 | Learning to Deblurbreakdown → | 2015 | 376 |
| 5 | 2013 | 213 | |
| 6 | 2012 | 254 | |
| 7 | Image denoising: Can plain neural networks compete with BM3D?breakdown → | 2012 | 818 |
| 8 | 2011 | 216 | |
| 9 | 2011 | 63 | |
| 10 | 2009 | 12 | |
| 11 | 1971 | 17 |
About Christian J. Schuler
Christian J. Schuler is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Instrumentation, Occupational Therapy and Demography, having authored 11 papers that have together received 2.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Advanced Image Processing Techniques (3 papers), Image Processing Techniques and Applications (3 papers), Dementia and Cognitive Impairment Research (2 papers), Technology Use by Older Adults (2 papers), Neural dynamics and brain function (1 paper), Photonic and Optical Devices (1 paper) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Media Technology (963 citations), Computer Vision and Pattern Recognition (1.5k citations), Acoustics and Ultrasonics (9 citations), Computational Theory and Mathematics (152 citations) and Management Science and Operations Research (94 citations). Christian J. Schuler has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Stefan Harmeling, H. Burger, Bernhard Schölkopf, Michael Hirsch, Philipp Hennig, Harold Christopher Burger, E. Kochs, Matthias Kreuzer, Thomas Fenzl and Kurt Busch. Their work appears in journals such as Disability and Rehabilitation Assistive Technology, MethodsX, Applied Physics Letters, Journal of Machine Learning Research and Aging Clinical and Experimental Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.